|
--- |
|
library_name: transformers |
|
license: other |
|
base_model: llava-hf/llava-v1.6-mistral-7b-hf |
|
tags: |
|
- llama-factory |
|
- full |
|
- generated_from_trainer |
|
model-index: |
|
- name: RLAIF-V-Cosi-q0_25_preference |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# RLAIF-V-Cosi-q0_25_preference |
|
|
|
This model is a fine-tuned version of [llava-hf/llava-v1.6-mistral-7b-hf](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf) on the RLAIF-V-Cosi-q0_25_preference dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5909 |
|
- Rewards/chosen: -2.7988 |
|
- Rewards/rejected: -4.2628 |
|
- Rewards/accuracies: 0.7266 |
|
- Rewards/margins: 1.4639 |
|
- Logps/rejected: -211.2034 |
|
- Logps/chosen: -194.0678 |
|
- Logits/rejected: -2.6060 |
|
- Logits/chosen: -2.6047 |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 1e-06 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 256 |
|
- total_eval_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 10 |
|
- num_epochs: 3.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.575 | 0.6944 | 50 | 0.5680 | -0.5232 | -1.1499 | 0.6914 | 0.6267 | -180.0744 | -171.3114 | -2.7966 | -2.7982 | |
|
| 0.2161 | 1.3889 | 100 | 0.5416 | -1.1269 | -2.2892 | 0.7461 | 1.1623 | -191.4681 | -177.3486 | -2.6708 | -2.6714 | |
|
| 0.0912 | 2.0833 | 150 | 0.5559 | -2.1342 | -3.5698 | 0.7188 | 1.4356 | -204.2739 | -187.4216 | -2.6701 | -2.6674 | |
|
| 0.0828 | 2.7778 | 200 | 0.5902 | -2.7717 | -4.2295 | 0.7227 | 1.4578 | -210.8705 | -193.7959 | -2.6071 | -2.6057 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.45.2 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.20.3 |
|
|
